Using Digital Ethnography to Understand the Experience of Women With Pelvic Organ Prolapse.

ABSTRACT:

Objective

To characterize the decision-making process and illness experience of women with pelvic organ prolapse (POP) using large-scale social media analysis.

Methods

Digital ethnographic analysis of online posts identified through data mining was performed. Grounded theory methodology was applied to 200 posts via traditional hand coding. To supplement our qualitative approach, we applied a Latent Dirichlet Allocation probabilistic topic modeling process to review the entire data set of identified posts to ensure thematic saturation.

Results

There were 3451 posts by 2088 unique users from 117 websites worldwide that were identified via social media data mining. We found that the anonymity of online forums allowed for information and support exchange among women with

SUBMITTER: Gonzalez G 

PROVIDER: S-EPMC9354566 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature